Public source
Reviewed 28 May 2026
Completeness Strong (67%)
Med-LungCT AI
Coreline SoftIt detects and quantifies pulmonary nodules, providing size, volume, nodule type, location, calcification, and spiculation. An automatic report based on the calculated Lung-RADS category is produced to assist in managing pulmonary nodules. Its follow-up registration and nodule matching aid the comparison of serial CT scans. Operation settings can be customized between sensitivity-oriented for high-risk patients and specificity-oriented for efficient screening.
* Formerly VUNO Med–LungCT AI from VUNO; recently transferred to Coreline Soft.
Supported by 1 paper
General Information
Product name
Company
Modality
Main task
Not specified
Subspeciality
Disease targeted
Regulatory Information
Pathway:
MDD
Class:
Class IIa
Verified by Health AI Register
Other certifications
Not specified
Evidence & Research
Peer-Reviewed Papers
Other Articles
Deep Learning Algorithm for Reducing CT Slice Thickness: Effect on Reproducibility of Radiomic Features in Lung Cancer
Residual CNN-based Image Super-Resolution for CT Slice Thickness Reduction using Paired CT Scans: Preliminary Clinical Validation
A Deep Learning-based CAD that Can Reduce False Negative Reports: A Preliminary Study in Health Screening Center
Technical Specifications
Patient population age
Not specified
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Market Presence
On market since
AI Platforms
Resellers
Not specified
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Not specified
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Not specified
Pricing Information
Pricing model
Not specified
Based on
Source: Public | First published: Jul 12, 2020 | Last updated: May 28, 2026